… Window-based approach also avoids redundant … and suppress information given the context
of the video and query. Consider the query "a dog is biting the curtains" and a video clip of a …

… [34] presented Vigil, which contributed on frame selection to suppress redundancy. When
multiple cameras capture different views of an object or person of interest to the user query, …

… We investigate an automated video analytics system in this thesis which takes into account
… Also, redundant information resides in the histograms of both LBPs, since they are strongly …

… The ultimate outcome is refined by applying a confidence threshold and a non-maximum
suppression algorithm, which aids in eliminating redundant or low-confidence boxes. …

… system of VM-based cloudlets that perform video analytics at the edge of the Internet. … video.
Conversely, pruning the collection of videos at locations and times, where much redundant …

… Non-maximum suppression [27] is a mechanism to remove redundant bounding … redundant
and one of them should be suppressed. A simple way to perform non-maximum suppression …

… The preliminary step of our framework removes redundant or similar frames from any given
input video… His research interests include image processing, video analytics, multimedia data …

… filter the video data by keeping salient information and suppressing redundant contents. …
Further, we provide a compact overview of video analytics, SVS, and MVS methods from the …

… IIoT precisely, we employ efficient and light-weight CNN to suppress the redundant video
data. Our proposed framework reads input video (6-fps) and discards the frames with no salient …

… object, we use Non-max suppression, which removes locally repeated detections. … redundant
DNN-based detection both at the cloud and edge. Our analysis shows that such redundant …